Renato A. Krohling

Orcid: 0000-0001-8861-4274

Affiliations:
  • Federal University of Espirito Santo, Vitória, Brazil


According to our database1, Renato A. Krohling authored at least 72 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A multi-objective formulation for the team formation problem using Krippendorff's disagreement and sociometric cohesion with Pareto-solutions obtained via evolutionary algorithms.
Comput. Oper. Res., January, 2024

Skin cancer diagnosis using NIR spectroscopy data of skin lesions in vivo using machine learning algorithms.
CoRR, 2024

2023
Bayesian artificial brain with ChatGPT.
CoRR, 2023

1D Convolutional neural networks and machine learning algorithms for spectral data classification with a case study for Covid-19.
CoRR, 2023

2022
Development of a hybrid method for stock trading based on TOPSIS, EMD and ELM.
CoRR, 2022

Solving integer multi-objective optimization problems using TOPSIS, Differential Evolution and Tabu Search.
CoRR, 2022

A visualization tool for data analysis on higher education dropout: a case study at UFES.
CoRR, 2022

Beyond Visual Image: Automated Diagnosis of Pigmented Skin Lesions Combining Clinical Image Features with Patient Data.
CoRR, 2022

Student Dropout Prediction using 1D CNN-LSTM with Variational Autoencoder Oversampling.
Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022

Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasets.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
An Attention-Based Mechanism to Combine Images and Metadata in Deep Learning Models Applied to Skin Cancer Classification.
IEEE J. Biomed. Health Informatics, 2021

A Smartphone based Application for Skin Cancer Classification Using Deep Learning with Clinical Images and Lesion Information.
CoRR, 2021

A deep learning approach combining instance and semantic segmentation to identify diseases and pests of coffee leaves from in-field images.
Comput. Electron. Agric., 2021

Discovering an Aid Policy to Minimize Student Evasion Using Offline Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Deep learning for classification and severity estimation of coffee leaf biotic stress.
Comput. Electron. Agric., 2020

The impact of patient clinical information on automated skin cancer detection.
Comput. Biol. Medicine, 2020

Learning dynamic weights for an ensemble of deep models applied to medical imaging classification.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

An app to detect melanoma using deep learning: An approach to handle imbalanced data based on evolutionary algorithms.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

On Out-of-Distribution Detection Algorithms with Deep Neural Skin Cancer Classifiers.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
TODIM and TOPSIS with Z-numbers.
Frontiers Inf. Technol. Electron. Eng., 2019

Recent advances in deep learning applied to skin cancer detection.
CoRR, 2019

A smartphone application to detection and classification of coffee leaf miner and coffee leaf rust.
CoRR, 2019

Application of Genetic Algorithms to the Multiple Team Formation Problem.
CoRR, 2019

Semi-Supervised Online Elastic Extreme Learning Machine with Forgetting Parameter to deal with concept drift in data streams.
Proceedings of the International Joint Conference on Neural Networks, 2019

Skin lesion segmentation using deep learning for images acquired from smartphones.
Proceedings of the International Joint Conference on Neural Networks, 2019

Generating a Fuzzy Rule Based Classification System by genetic learning of granularity level using TOPSIS.
Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, 2019

A Multiobjective Genetic Approach with TOPSIS to Learn Fuzzy Rule-Based Classification Systems.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Aggregation of neural classifiers using Choquet integral with respect to a fuzzy measure.
Neurocomputing, 2018

Restricted Boltzmann machine to determine the input weights for extreme learning machines.
Expert Syst. Appl., 2018

Semi-Supervised Online Elastic Extreme Learning Machine for Data Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

An approach to improve online sequential extreme learning machines using restricted Boltzmann machines.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Fuzzy Sociometric Approach to Human Resource Allocation.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Clustering with Minimum Spanning Tree using TOPSIS with Multi-Criteria Information.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Empirical Mode Decomposition, Extreme Learning Machine and Long Short-Term Memory for Time Series Prediction: A Comparative Study.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
Choquet based TOPSIS and TODIM for dynamic and heterogeneous decision making with criteria interaction.
Inf. Sci., 2017

2016
Entropy-based bare bones particle swarm for dynamic constrained optimization.
Knowl. Based Syst., 2016

A generalized TOPSIS method for group decision making with heterogeneous information in a dynamic environment.
Inf. Sci., 2016

Ranking of classification algorithms in terms of mean-standard deviation using A-TOPSIS.
CoRR, 2016

An approach to dealing with missing values in heterogeneous data using k-nearest neighbors.
CoRR, 2016

2015
Ranking and comparing evolutionary algorithms with Hellinger-TOPSIS.
Appl. Soft Comput., 2015

Differential Evolution and Nelder-mead for Constrained Non-linear Integer Optimization Problems.
Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

TODIM Based Method to Process Heterogeneous Information.
Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

A-TOPSIS - An Approach Based on TOPSIS for Ranking Evolutionary Algorithms.
Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

Time Series Prediction Using Restricted Boltzmann Machines and Backpropagation.
Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

2014
Bare Bones Particle Swarm Optimization With Scale Matrix Adaptation.
IEEE Trans. Cybern., 2014

A hybrid approach using TOPSIS, Differential Evolution, and Tabu Search to find multiple solutions of constrained non-linear integer optimization problems.
Knowl. Based Syst., 2014

The Hellinger distance in Multicriteria Decision Making: An illustration to the TOPSIS and TODIM methods.
Expert Syst. Appl., 2014

Interval-valued Intuitionistic Fuzzy TODIM.
Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

Bare bones particle swarm with scale mixtures of Gaussians for dynamic constrained optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
IF-TODIM: An intuitionistic fuzzy TODIM to multi-criteria decision making.
Knowl. Based Syst., 2013

A study of TODIM in a intuitionistic fuzzy and random environment.
Expert Syst. Appl., 2013

Hierarchical bare bones particle swarm for solving constrained optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012
A differential evolution approach for solving constrained min-max optimization problems.
Expert Syst. Appl., 2012

Combining prospect theory and fuzzy numbers to multi-criteria decision making.
Expert Syst. Appl., 2012

A co-evolutionary differential evolution algorithm for solving min-max optimization problems implemented on GPU using C-CUDA.
Expert Syst. Appl., 2012

2011
Swarm algorithms with chaotic jumps applied to noisy optimization problems.
Inf. Sci., 2011

Fuzzy TOPSIS for group decision making: A case study for accidents with oil spill in the sea.
Expert Syst. Appl., 2011

2010
Differential evolution algorithm on the GPU with C-CUDA.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Bare Bones Particle Swarm Applied to Parameter Estimation of Mixed Weibull Distribution.
Proceedings of the Soft Computing in Industrial Applications, 2009

Swarm's flight: Accelerating the particles using C-CUDA.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Bare Bones Particle Swarm Optimization with Gaussian or Cauchy jumps.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2006
Coevolutionary Particle Swarm Optimization Using Gaussian Distribution for Solving Constrained Optimization Problems.
IEEE Trans. Syst. Man Cybern. Part B, 2006

Nonlinear System Identification Based on B-Spline Neural Network and Modified Particle Swarm Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2006

PSO-E: Particle Swarm with Exponential Distribution.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
Parameter tuning of a computed-torque controller for a 5 degree of freedom robot arm using co-evolutionary particle swarm optimization.
Proceedings of the 2005 IEEE Swarm Intelligence Symposium, 2005

Gaussian particle swarm with jumps.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Co-evolutionary particle swarm optimization for min-max problems using Gaussian distribution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2002
Co-evolutionary particle swarm optimization to solve min-max problems.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

Solving numerical equations of hydraulic problems using particle swarm optimization.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

Parameters tuning of multivariable controllers based on memetic algorithm: fundamentals and application.
Proceedings of the 2002 IEEE International Symposium on Intelligent Control, 2002

2001
Design of optimal disturbance rejection PID controllers using genetic algorithms.
IEEE Trans. Evol. Comput., 2001

1999
Entwicklung von neuen Verfahren zum Reglerentwurf mit Hilfe von genetischen Algorithmen.
PhD thesis, 1999


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